Quantifying prosthetic gait deviation using simple outcome measures

doi:10.5312/wjo.v7.i6.383

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World Journal of Orthopedics

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2218-5836

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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

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Observational Study

World J Orthop. Jun 18, 2016; 7(6): 383-391
Published online Jun 18, 2016. doi: 10.5312/wjo.v7.i6.383

Table 2 Correlations with the gait deviation index, Spearman’s rank correlation coefficient displayed

Parameter	Correlation coefficient, ρ
Participant characteristics
Age	-0.13
BMI	-0.27
Age at amputation	-0.16
Time since amputation	0.14
Performance-based outcomes
nSL_pro	0.73^b
nSL_int	0.83^b
nSL_ave	0.78^b
nSSWS	0.7^b
TUGT	-0.60
6MWD	0.74^b
Self-report measures
Ambulation	0.44
Appearance	0.22
Frustration	-0.14
Perceived response	0.02
Residual limb health	-0.22
Social burden	0.37
Sounds	-0.01
Utility	0.33
Well-being	0.20

^bP ≤ 0.001, indicates significant relationships. BMI: Body mass index measured with prosthesis on; nSL: Leg-length normalised average step length; nSSWS: Leg-length normalised self selected walking speed; TUGT: Timed-up-and-go test; 6MWD: Six-minute walk distance.

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Citation: Kark L, Odell R, McIntosh AS, Simmons A. Quantifying prosthetic gait deviation using simple outcome measures. World J Orthop 2016; 7(6): 383-391
URL: https://www.wjgnet.com/2218-5836/full/v7/i6/383.htm
DOI: https://dx.doi.org/10.5312/wjo.v7.i6.383

Kark L, Odell R, McIntosh AS, Simmons A. Quantifying prosthetic gait deviation using simple outcome measures. World J Orthop 2016; 7(6): 383-391 [PMID: 27335814 DOI: 10.5312/wjo.v7.i6.383]

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